Multiple Imputation of Missing Data: A Simulation Study on a Binary Response

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Open Journal of Statistics

ISSN Print: 2161-718X
ISSN Online: 2161-7198
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"Multiple Imputation of Missing Data: A Simulation Study on a Binary Response"
written by Jochen Hardt, Max Herke, Tamara Brian, Wilfried Laubach,
published by Open Journal of Statistics, Vol.3 No.5, 2013

has been cited by the following article(s):

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[18]	Multiple Imputation for Dichotomous MNAR Items Using Recursive Structural Equation Modeling With Rasch Measures as Predictors SAGE Open, 2018 DOI:10.1177/2158244018757584

[19]	Seed dispersal syndromes in the Madagascan flora: the unusual importance of primates Oryx, 2018 DOI:10.1017/S0030605317001600

[20]	Estimation of the Incidence of Hepatocellular Carcinoma and Cholangiocarcinoma in Songkhla, Thailand, 1989-2013, Using Multiple Imputation Method Cancer Research and Treatment, 2017 DOI:10.4143/crt.2016.045

[21]	Heuristically repopulated Bayesian ant colony optimization for treating missing values in large databases Knowledge-Based Systems, 2017 DOI:10.1016/j.knosys.2017.06.033

[22]	Privacy-preserving of SVM over vertically partitioned with imputing missing data Distributed and Parallel Databases, 2017 DOI:10.1007/s10619-017-7203-3

[23]	Social Networks as Predictors of the Harm Suffered by Victims of a Large-Scale Ponzi Scheme Canadian Journal of Criminology and Criminal Justice, 2017 DOI:10.3138/cjccj.2014.E16

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